similar to: Replay recorded plot with new layout

Hello, first, I'd like to congratulate the core team to the new R version 1.1. I think it's a great update, with glimpses into an even greater future (tcltk!). While playing around with the new functions (on Win 95), I found the following: As the documentation states, when I generate a plot and save it with recordPlot, I can regenerate it by printing the variable: > plot(1:10) >

I want to use the aggregate function to summarize data by a factor (my field plots), but I want the summary to be the majority level of another factor. For example, given the dataframe: Plot1 big Plot1 big Plot1 small Plot2 big Plot2 small Plot2 small Plot3 small Plot3 small Plot3 small My desired result would be: Plot1 big Plot2 small Plot3 small I

Hi, this is not a new doubt, but is a doubt that I cant find a good response. Look this output: > m.lme <- lme(Yvar~Xvar,random=~1|Plot1/Plot2/Plot3) > anova(m.lme) numDF denDF F-value p-value (Intercept) 1 860 210.2457 <.0001 Xvar 1 2 1.2352 0.3821 > summary(m.lme) Linear mixed-effects model fit by REML Data: NULL AIC BIC

Hi, a colleague of mine encountered some unexpected behavior regarding the postscript output from R. It's difficult for me to tell whether or not this is an R problem or a ghostview/gv/interpreter problem. Just to note, I think it's exactly the same situation reported here: http://finzi.psych.upenn.edu/R/Rhelp02/archive/25436.html The following code produces a working plot (no

Hello. Does anyone know of an existing function that takes a list in the form of: Plot1 Species1 Abundance1 Plot1 Species2 Abundance2 Plot2 Species1 Abundance1 Plot2 Species3 Abundance3 . . . PlotN SpeciesN AbundanceN and translates into a matrix in the form of Species1 Species2.... SpeciesN Plot1 Abundance1 Abundance2... AbundanceN Plot2 Abundance1

I think this is pretty certainly a bug, so I'm cc'ing this to r-bugs. -p Kaspar Pflugshaupt <pflugshaupt@geobot.umnw.ethz.ch> writes: > Hello, > > first, I'd like to congratulate the core team to the new R version 1.1. I > think it's a great update, with glimpses into an even greater future > (tcltk!). > > While playing around with the new functions

I am doing calculations in a loop and then plotting the results by adding a point to each of 2 charts at the end of the loop. Its very informative as you can see the progression through time. My problem is, if I have 2 plots, I don't know how to get the focus back to the first plot. layout(matrix(c(1,2))) plot(iris[,1],col="red",) #plot1 plot(iris[,3],col="blue") #plot2

Hi, I just try to draw multiple plots in one page using R, I used par command. For example I have 7 plots, but instead of arranging them in the default way plot1 plot2 plot3 plot4 plot5 plot6 plot7 I want them in this order plot1 plot2 plot3 plot4 plot5 plot6 plot7 Could somebody tell me how to do this, please? Thanks so many. Suyan

Hi everyone! This must be a common question but I have not found an answer to it in the archives yet. I am producing four plots with par(mfrow=c(2,2)). The x-axis is the same for all of them but the y-axis is different. What I would like to do is to have a different range of the y-axis and different intervals between tick marks. BUT I would like to have the same number of tick marks and I would

I have two dataframes (df) that share a column header ("plot.id"). In the 1st df, "plot.id" records are repeated a variable number of times based on the number of trees monitored within each plot. The 2nd df only has a single record for each "plot.id", and contains a variable named "load" that is collected at the plot-level and is only listed once per plot

Hi all, I have installed in R 2.6 the survival package and I am trying to analyze some data and present plots. The problem occurs when I try to plot lines on the same plot. E.g. take simulated data for time (t), event (e) and groups (group1 and group2) and do: ### this is how I create the plots plot1<-survfit(Surv(t,e)~ as.factor(group1)) plot2<-survfit(Surv(t,e)~ as.factor(group2))

Hi R people! I am looking for some suggestions writing an if-else function. The idea is to characterize different plots containing counts of variables (here parasites). If a plot has a count equal or higher than 4 for any parasite the function should return a 1 else a 0. Later I can loop the function over all plots. Here I have a little subset of my data: VariablePAR Plot1

Dear List, I'm stuck on what seems like a simple indexing problem, I'd be very grateful to anyone willing to help me out. I queried a dataframe which returns a character vector called "plot". I have another dataframe from which I want to subset or select only those rows that match "plot". I've tried subset, and also the "which" command. plot

On Thu, Jun 22, 2000 at 05:01:32PM +0200, p.dalgaard@biostat.ku.dk wrote: > I think this is pretty certainly a bug, so I'm cc'ing this to r-bugs. > > -p > > Kaspar Pflugshaupt <pflugshaupt@geobot.umnw.ethz.ch> writes: > > As the documentation states, when I generate a plot and save it with > > recordPlot, I can regenerate it by printing the variable:

On Thu, Jun 22, 2000 at 05:01:32PM +0200, p.dalgaard@biostat.ku.dk wrote: > I think this is pretty certainly a bug, so I'm cc'ing this to r-bugs. > > -p > > Kaspar Pflugshaupt <pflugshaupt@geobot.umnw.ethz.ch> writes: > > As the documentation states, when I generate a plot and save it with > > recordPlot, I can regenerate it by printing the variable:

Dear all, I wish to generate a lattice boxplot which skips an empty cell in a design. I have trawled r-help, scruitinized xyplot(lattice) help page, and merrily reproduced examples of using skip from a couple of previous r-help queries and the example given in Pinheiro & Bates. But I must be missing something... Here's an example (running R 1.9.1 on Win2k): # generate some data df1

This may be asking too much, but I'm wondering if anyone has a solution (even a hack) for creating multiple (overlay) plots in an Sweave file and post-processing the overlays in beamer appropriately. For example, suppose I have a series of figure blocks in my .Rnw file: <<plot1,fig=TRUE>>= [stuff] @ <<plot2,fig=TRUE>>= [stuff] @ <<plot3,fig=TRUE>>=

Hi R user,I am struggling to figure out on how I can calculate the average from the two tables in R. Any one can help me? really your help would be grateful- I am spending so much time to figure it out. It should not be so hard, I think. I have very big data but I have created a hypothetical data for simplification. for example I have : table 1 table 1: species occurance data

Dear All (probably Hadley), I am now trying to customise some plots using a bar geom. I do not want to use the default binning statistic, but rather calculate the bar heigths separately. I do manage this, but for comparison purposes I would like to have a set of plots all with the same y-axis height. But I do not seem to find out how to fix the scale of the y-axis in this case. Any tips?

I am trying to use the Lattice package to produce the same result as I can with the base graphics. With base graphics I can type: x <- 1:100 y <- x+rnorm(length(x)) g <- lm( y ~ x ) model.y <- g$coef[1]+g$coef[2]*x plot(x,y) # a plot of the data lines( x, model.y ) # a plot of the model, superimposed on the first plot With Lattice graphics I've got this far: